AuroraPath - Chasing the Northern Lights with Sustainable AI
AuroraPath is a real-time, carbon-optimized dashboard for sustainable aurora borealis viewing. It combines live NOAA space weather data with an AI agent that generates eco-friendly travel recommendations.
Why it matters
AuroraPath shows how AI can be used to make outdoor leisure activities like aurora viewing more environmentally friendly.
Key Points
- 1Combines live NOAA data with AI to track real-time aurora activity and visibility
- 2Generates
- 3 recommendations for sustainable aurora viewing routes
- 4Uses Auth0 for secure user and machine identity management
- 5Includes features like Aurora Visibility Score, geomagnetic dashboard, and interactive map
Details
AuroraPath flips the script on traditional aurora hunting, which typically involves driving long distances alone at night - one of the least carbon-efficient leisure activities. The project combines live NOAA space weather data with an AI agent that generates travel recommendations prioritizing public transit, carpooling, and other sustainable options over solo drives. \n\nThe AI agent is powered by the Gemini API and runs under a dedicated Auth0 Machine-to-Machine credential, separate from user authentication. This ensures every recommendation is tied to a real account and the AI's actions can be traced and revoked if needed. Key features include an Aurora Visibility Score, real-time geomagnetic dashboard, interactive map, and
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